Bernard J. Koch
Cited by
Cited by
The Genome of the Ctenophore Mnemiopsis leidyi and Its Implications for Cell Type Evolution
JF Ryan, K Pang, CE Schnitzler, AD Nguyen, RT Moreland, DK Simmons, ...
Science 342 (6164), 1242592, 2013
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
B Koch, E Denton, A Hanna, JG Foster
NeurIPS 2021, 2021
The diversification of the LIM superclass at the base of the metazoa increased subcellular complexity and promoted multicellular specialization
BJ Koch, JF Ryan, AD Baxevanis
PLoS One 7 (3), e33261, 2012
A customized Web portal for the genome of the ctenophore Mnemiopsis leidyi
RT Moreland, AD Nguyen, JF Ryan, CE Schnitzler, BJ Koch, K Siewert, ...
BMC genomics 15, 1-13, 2014
Uncovering sociological effect heterogeneity using tree-based machine learning
JE Brand, J Xu, B Koch, P Geraldo
Sociological Methodology 51 (2), 189-223, 2021
HINTS: Citation time series prediction for new publications via dynamic heterogeneous information network embedding
S Jiang, B Koch, Y Sun
Proceedings of the Web Conference 2021, 3158-3167, 2021
The evolutionary dynamics of cultural change (as told through the birth and brutal, blackened death of metal music)
B Koch, D Silvestro, JG Foster
SocArXiv, 2020
A quantitative workflow for modeling diversification in material culture
E Gjesfjeld, D Silvestro, J Chang, B Koch, JG Foster, ME Alfaro
Plos one 15 (2), e0227579, 2020
The maternal‐zygotic transition and zygotic activation of the Mnemiopsis leidyi genome occurs within the first three cleavage cycles
PL Davidson, BJ Koch, CE Schnitzler, JQ Henry, MQ Martindale, ...
Molecular reproduction and development 84 (11), 1218-1229, 2017
Deep learning of potential outcomes
B Koch, T Sainburg, P Geraldo, S Jiang, Y Sun, JG Foster
arXiv preprint arXiv:2110.04442, 2021
Machine learning
JE Brand, B Koch, J Xu
SAGE Research Methods Foundations, 2019
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